Two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks using fuzzy logic for monitoring, diagnosis and target tracking
Abstract In this study, we present two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks for supervising the environment and multi-target detecting and tracking in real large-scale areas. The use of mobile sink in wireless sensor networks, despite its numero...
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| Format: | Article |
| Language: | English |
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Springer
2021-03-01
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| Series: | SN Applied Sciences |
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| Online Access: | https://doi.org/10.1007/s42452-021-04496-6 |
| _version_ | 1829532759836590080 |
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| author | Kambiz Koosheshi |
| author_facet | Kambiz Koosheshi |
| author_sort | Kambiz Koosheshi |
| collection | DOAJ |
| description | Abstract In this study, we present two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks for supervising the environment and multi-target detecting and tracking in real large-scale areas. The use of mobile sink in wireless sensor networks, despite its numerous advantages, is impossible in the majority of environments. Hence, by utilization of a novel scheme for duty cycle integrated with fuzzy logic, despite using a fixed base station, the propose protocol can enhance network lifetime even more than those protocols which use mobile sink for data collection. In this protocol, by introducing an unequal clustering method based on fuzzy logic, the possibility of energy holes problem is very far from expectation. Simulation of the proposed protocol through Matlab indicated that the proposed method outperformed other available methods with regard to preventing energy hole. Consequently, network lifetime is enhanced even in large-sized networks. |
| first_indexed | 2024-12-16T18:44:27Z |
| format | Article |
| id | doaj.art-70c076f942034f2fbf41d3b3207df512 |
| institution | Directory Open Access Journal |
| issn | 2523-3963 2523-3971 |
| language | English |
| last_indexed | 2024-12-16T18:44:27Z |
| publishDate | 2021-03-01 |
| publisher | Springer |
| record_format | Article |
| series | SN Applied Sciences |
| spelling | doaj.art-70c076f942034f2fbf41d3b3207df5122022-12-21T22:20:53ZengSpringerSN Applied Sciences2523-39632523-39712021-03-013412010.1007/s42452-021-04496-6Two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks using fuzzy logic for monitoring, diagnosis and target trackingKambiz Koosheshi0Department of Computer Engineering, Tabriz Branch, Islamic Azad UniversityAbstract In this study, we present two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks for supervising the environment and multi-target detecting and tracking in real large-scale areas. The use of mobile sink in wireless sensor networks, despite its numerous advantages, is impossible in the majority of environments. Hence, by utilization of a novel scheme for duty cycle integrated with fuzzy logic, despite using a fixed base station, the propose protocol can enhance network lifetime even more than those protocols which use mobile sink for data collection. In this protocol, by introducing an unequal clustering method based on fuzzy logic, the possibility of energy holes problem is very far from expectation. Simulation of the proposed protocol through Matlab indicated that the proposed method outperformed other available methods with regard to preventing energy hole. Consequently, network lifetime is enhanced even in large-sized networks.https://doi.org/10.1007/s42452-021-04496-6Wireless sensor networksFuzzy logicLarge-scale environmentMonitoringEnergy hole problem |
| spellingShingle | Kambiz Koosheshi Two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks using fuzzy logic for monitoring, diagnosis and target tracking SN Applied Sciences Wireless sensor networks Fuzzy logic Large-scale environment Monitoring Energy hole problem |
| title | Two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks using fuzzy logic for monitoring, diagnosis and target tracking |
| title_full | Two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks using fuzzy logic for monitoring, diagnosis and target tracking |
| title_fullStr | Two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks using fuzzy logic for monitoring, diagnosis and target tracking |
| title_full_unstemmed | Two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks using fuzzy logic for monitoring, diagnosis and target tracking |
| title_short | Two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks using fuzzy logic for monitoring, diagnosis and target tracking |
| title_sort | two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks using fuzzy logic for monitoring diagnosis and target tracking |
| topic | Wireless sensor networks Fuzzy logic Large-scale environment Monitoring Energy hole problem |
| url | https://doi.org/10.1007/s42452-021-04496-6 |
| work_keys_str_mv | AT kambizkoosheshi twonovelprotocolsforoptimizingenergyconsumptioninheterogeneouswirelesssensornetworksusingfuzzylogicformonitoringdiagnosisandtargettracking |